Determining Product Suitability using Rule-Based Model with C4.5 Algorithm

Authors

  • Chintya Carolina Situmorang STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Dedy Hartama STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Irfan Sudahri Damanik STIKOM Tunas Bangsa, Pematangsiantar, Indonesia
  • Jaya Tata Hardinata Universitas HKBP Nommensen Pematangsiantar, Pematangsiantar, Indonesia

DOI:

https://doi.org/10.55123/jomlai.v2i1.1923

Keywords:

Data Mining, Decision Tree, Rules Model, C4.5, Goods Eligibility

Abstract

A hotel warehouse must have orderly, good, safe, comfortable, and usable procurement of goods. The common issue that occurs in a warehouse is damaged and unusable goods. The fluctuating production demand for goods sometimes leads to neglecting the quality of the goods in the warehouse. To determine usable goods, appropriate recommendations are needed. The C4.5 algorithm with data mining techniques is an appropriate recommendation for analyzing a large amount of data for classification. The data used in this study is the inventory data of Hotel Sapadia Pematangsiantar's warehouse. Implementing the C4.5 algorithm that produces a Decision Tree can assist the warehouse in determining which goods are still usable for hotel activities. This study resulted in the best variable from the rule model used to determine the feasibility of goods being the physical condition of the goods. The accuracy of the rule model generated from the C4.5 Algorithm modeling is 99.02% against the feasibility of goods.

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Published

2023-03-31

How to Cite

Situmorang, C. C., Hartama, D. ., Damanik, I. S., & Hardinata, J. T. (2023). Determining Product Suitability using Rule-Based Model with C4.5 Algorithm. JOMLAI: Journal of Machine Learning and Artificial Intelligence, 2(1), 19–32. https://doi.org/10.55123/jomlai.v2i1.1923

Issue

Vol. 2 No. 1 (2023): March

Section

Articles

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Copyright (c) 2023 Chintya Carolina Situmorang, Dedy Hartama, Irfan Sudahri Damanik, Jaya Tata Hardinata

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